Protoporphyrin IX tracer fluorescence modulation for improved brain tumor cell lines visualization

Publication date: Available online 16 October 2019Source: Journal of Photochemistry and Photobiology B: BiologyAuthor(s): Deborah Piffaretti, Floriana Burgio, Marcus Thelen, Alain Kaelin-Lang, Paolo Paganetti, Michael Reinert, Maria Luisa D'AngeloAbstractFluorescence image guided surgical resection (FIGR) of high grade gliomas (HGGs) takes advantage of the accumulation of the tracer protoporphyrin IX (PpIX) in glioma cells following administration of 5-aminolevulinic acid (5-ALA). Occasionally, PpIX fluorescence intensity may be insufficient, thus compromising the efficacy and precision of the surgical intervention. The cause for the signal variation is unclear and strategies to improve the intensity of PpIX fluorescence are considered necessary. We have previously shown that differential expression of the epidermal growth factor receptor in glioblastoma cells affects PpIX fluorescence. Herein, we investigated other factors impairing PpIX accumulation and pharmacological treatments able to enhance PpIX fluorescence in glioblastoma cells displaying lower signal. In the present study we demonstrate that presence of serum in cell culture medium and differences in cellular confluence can negatively influence PpIX accumulation in U87 cell lines.We hypothesized that PpIX fluorescence intensity results from the interplay between the metabolic clearance of PpIX mediated by ferrochelatase and heme oxygenase-1 and the cellular efflux of PpIX through the ATP-binding cassette subfamily G...
Source: Journal of Photochemistry and Photobiology B: Biology - Category: Speech-Language Pathology Source Type: research

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In this study, we investigated the effects of AMPA receptor antagonist perampanel in rat C6 glioma model. In first pilot experiments, perampanel reduced glucose uptake but had no impact of extracellular glutamate level in vitro. To analyze the effects of perampanel in vivo, we injected C6 cells orthotopically into the neocortex of Wistar rats in order to establish a model of glioma-associated epilepsy. Spontaneous recurrent discharges in brain slices were abolished upon perfusion with the AMPA receptor blocker perampanel, supporting the major role of glutamatergic excitation. With respect to the tumor progression, no effec...
Source: Neuroscience Letters - Category: Neuroscience Source Type: research
Publication date: December 2019Source: Journal of Clinical Neuroscience, Volume 70Author(s): Ebrahim Najafzadeh, Hossein Ghadiri, Maysam Alimohamadi, Parastoo Farnia, Mohammad Mehrmohammadi, Alireza AhmadianAbstractAccurate margin delineation and safe maximal resection of glioma is one of the most challenging problems of neurosurgery, due to its close resemblance to normal brain parenchyma. However, different intraoperative visualization methods have been used for real-time intraoperative investigation of the borders of the resection cavity, each having advantages and limitations. This preliminary study was designed to sim...
Source: Journal of Clinical Neuroscience - Category: Neuroscience Source Type: research
In this study, taking advantage of the currently popular computational methods for estimating the infiltration of tumor-associated normal cells in tumor samples and using weighted gene co-expression network analysis, we screened the co-expressed gene modules associated with the TME and further identified the prognostic hub genes in these modules. Furthermore, eight prognostic hub genes (ARHGDIB, CLIC1, OAS3, PDIA4, PARP9, STAT1, TAP2, and TAGLN2) were selected to construct a prognostic risk score model using the least absolute shrinkage and selection operator method. Univariate and multivariate Cox regression analysis demo...
Source: Frontiers in Genetics - Category: Genetics & Stem Cells Source Type: research
This study aimed to investigate the effect of radiation on tumor growth and the GSC microenvironment in a mouse model of glioma. To evaluate the growth-inhibitory effects of ionizing radiation on GSCs, tumor volume was measured via anatomical magnetic resonance imaging (MRI) after the intracranial injection of 1 × 104 human patient-derived GSCs (83NS cells), which exhibit marked radioresistance. When a tumor mass of ~5 mm3 was detected in each animal, 10 Gy of cranial irradiation was administered. Tumor progression was observed in the orthotopic xenografted GSC tumor (primary tumor) from a detectable tumor mass (5 mm...
Source: Frontiers in Oncology - Category: Cancer & Oncology Source Type: research
Contributors : Timothy Phoenix ; Smruti PatelSeries Type : Expression profiling by high throughput sequencingOrganism : Mus musculusDiffuse intrinsic pontine gliomas (DIPGs) are highly lethal childhood brain tumors. Their unique genetic makeup, pathological heterogeneity, and brainstem location all present challenges to treatment. Developing mouse models that accurately reflect each of these distinct features will be critical to advance our understanding of DIPG development, progression, and therapeutic resistance. The aim of this study was to generate new mouse models of DIPG, and characterize the role of specific oncogen...
Source: GEO: Gene Expression Omnibus - Category: Genetics & Stem Cells Tags: Expression profiling by high throughput sequencing Mus musculus Source Type: research
This Medical News article discusses recent developments in neurology and neuroscience related to glioma progression, immunizations and multiple sclerosis, and deep brain stimulation for tinnitus.
Source: JAMA - Journal of the American Medical Association - Category: General Medicine Source Type: research
We described a case of PACNS initially misdiagnosed as glioblastoma. The patient was a 35 year-old female with right-sided weakness and expressive dysphasia. Brain MRI showed a tumor-like lesion highly suggestive of glioblastoma, therefor surgical removal was done. After a resection and an exhaustive workup, PACNS was ultimately diagnosed. The case illustrates a type of imaging presentation of PACNS that is often misdiagnosed as high-grade glioma. Differentiation between tumor-like PACNS lesions and actual CNS tumors is challenging due to similar MR images. To avoid unnecessary surgical interventions, we summarized previou...
Source: Frontiers in Neurology - Category: Neurology Source Type: research
This study aimed to analyze five SNPs associated with glioma susceptibility, in the Portuguese population. SNPs were genotyped using the Sequenom MassARRAY platform in 127 gliomas and 180 controls. Unconditional logistic regression models were used to calculate odds ratio (OR) and 95% confidence intervals. The false-positive report probability was also assessed. The associations between polymorphisms and survival were evaluated using the log-rank test. It was found that the AG and GG genotypes of the rs4977756 (CDKN2A/B) were associated with an increased risk of gliomas (OR 1.85 and OR 2.38) and glioblastomas (OR 2.77 and ...
Source: Molecular Biology Reports - Category: Molecular Biology Authors: Tags: Mol Biol Rep Source Type: research
Daria Riva Neurofibromatosis type-1 (NF1) is a monogenic tumor-predisposition syndrome creating a wide variety of cognitive and behavioral abnormalities, such as decrease in cognitive functioning, deficits in visuospatial processing, attention, and social functioning. NF1 patients are at risk to develop neurofibromas and other tumors, such as optic pathway gliomas and other tumors of the central nervous system. Few studies have investigated the impact of an additional diagnosis of brain tumor on the cognitive outcome of children with NF1, showing unclear results and without controlling by the effect of surgery, radio-...
Source: Cancers - Category: Cancer & Oncology Authors: Tags: Article Source Type: research
Publication date: March 2020Source: Biomedical Signal Processing and Control, Volume 57Author(s): Navid Ghassemi, Afshin Shoeibi, Modjtaba RouhaniAbstractIn this paper, a new deep learning method for tumor classification in MR images is presented. A deep neural network is first pre-trained as a discriminator in a generative adversarial network (GAN) on different datasets of MR images to extract robust features and to learn the structure of MR images in its convolutional layers. Then the fully connected layers are replaced and the whole deep network is trained as a classifier to distinguish three tumor classes. The deep neu...
Source: Biomedical Signal Processing and Control - Category: Biomedical Science Source Type: research
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